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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Out-of-Distribution Detection using Multiple Semantic Label Representations NeurIPS 2018 Output-Gate Projected Gated Recurrent Unit for Speech Recognition Interspeech 2018 Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate NeurIPS 2018 PAC-Bayes bounds for stable algorithms with instance-dependent priors NeurIPS 2018 PAC-Bayes Control: Synthesizing Controllers that Provably Generalize to Novel Environments CoRL 2018 PAC-Bayes Tree: weighted subtrees with guarantees NeurIPS 2018 PAC-learning in the presence of adversaries NeurIPS 2018 Parallel and Distributed MCMC via Shepherding Distributions AISTATS 2018 Parallel Bayesian Network Structure Learning ICML 2018 Parallelised Bayesian Optimisation via Thompson Sampling AISTATS 2018 Parallelizing Spectrally Regularized Kernel Algorithms JMLR 2018 Parallelizing Stochastic Gradient Descent for Least Squares Regression: Mini-batching, Averaging, and Model Misspecification JMLR 2018 Parallel Probabilistic Inference by Weighted Model Counting PGM 2018 Parameterised Queries and Lifted Query Answering IJCAI 2018 Parameterized hardness of active inference PGM 2018 Parameters as interacting particles: long time convergence and asymptotic error scaling of neural networks NeurIPS 2018 Parser Training with Heterogeneous Treebanks ACL 2018 Parsimonious Bayesian deep networks NeurIPS 2018 Passive Static Equilibrium with Frictional Contacts and Application to Grasp Stability Analysis RSS 2018 Patchwork Kriging for Large-scale Gaussian Process Regression JMLR 2018 Path Consistency Learning in Tsallis Entropy Regularized MDPs ICML 2018 Pathologies of Neural Models Make Interpretations Difficult EMNLP 2018 Pathwise Derivatives Beyond the Reparameterization Trick ICML 2018 Patient Privacy in Paralinguistic Tasks Interspeech 2018 PCA of high dimensional random walks with comparison to neural network training NeurIPS 2018